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Multicategory Purchase Incidence Models for Partitions of Product Categories

Hruschka, Harald (2016) Multicategory Purchase Incidence Models for Partitions of Product Categories. Journal of Forecasting 36 (3), pp. 230-240.

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Other URL: http://doi.org/10.1002/for.2428


Abstract

We analyze multicategory purchases of households by means of heterogeneous multivariate probit models that relate to partitions formed from a total of 25 product categories. We investigate both prior and post hoc partitions. We search model structures by a stochastic algorithm and estimate models by Markov chain Monte Carlo simulation. The best model in terms of cross-validated log-likelihood ...

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Item type:Article
Date:2016
Institutions:Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Marketing (Prof. Dr. Harald Hruschka)
Identification Number:
ValueType
10.1002/for.2428DOI
Keywords:BASKET; multicategory purchase models; promotion effects; multivariate probit; Markov chain Monte Carlo; stochastic model search
Dewey Decimal Classification:300 Social sciences > 330 Economics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:38569
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